DocumentCode :
267658
Title :
Volt/var optimization of unbalanced distribution feeders via Mixed Integer Linear Programming
Author :
Borghetti, Alberto ; Napolitano, Fabio ; Nucci, Carlo Alberto
Author_Institution :
Dept. of Electr., Electron. & Inf. Eng., Univ. of Bologna, Bologna, Italy
fYear :
2014
fDate :
18-22 Aug. 2014
Firstpage :
1
Lastpage :
7
Abstract :
The paper presents a Mixed Integer Linear Programming (MILP) model for the solution of the three-phase volt/var optimization (WO) of medium voltage unbalanced distribution feeders. The WO of a distribution feeder is aimed at calculating the most efficient operating conditions by means of the scheduling of transformers equipped with an on-load tap changer and distributed reactive power resources (such as embedded generators and switchable capacitors banks). The proposed model allows the representation of feeders composed by three-phase, two-phase, and single-phase lines, by transformers with different winding connections, by unbalanced wye- and delta-connected loads, by three-phase and single phase capacitor banks and embedded generators. The accuracy of the results is verified by using IEEE Test Feeders.
Keywords :
distribution networks; integer programming; linear programming; on load tap changers; power capacitors; transformer windings; turbogenerators; IEEE test feeders; MILP model; distributed reactive power resources; embedded generators; medium voltage unbalanced distribution feeders; mixed integer linear programming model; on-load tap changer; operating conditions; single-phase lines; switchable capacitors banks; three-phase lines; three-phase volt-var optimization; transformers scheduling; two-phase lines; unbalanced delta-connected loads; unbalanced distribution feeders; unbalanced wye-loads; winding connections; Capacitors; Generators; Load modeling; Mathematical model; Reactive power; Switches; Voltage control; mixed integer linear programming; power distribution feeders; unbalanced networks; volt/var optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Computation Conference (PSCC), 2014
Conference_Location :
Wroclaw
Type :
conf
DOI :
10.1109/PSCC.2014.7038470
Filename :
7038470
Link To Document :
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